Johns Hopkins
Model Outputs
2023-2024
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1189 (#6) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1243 (#11) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.6 (#12) | HCA +2.4 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-10 | vs | WashU | W | 69 - 56 |
| 2023-11-11 | @ | NYU | L | 52 - 72 |
| 2023-11-14 | vs | Marymount (VA) | W | 74 - 63 |
| 2023-11-21 | vs | Gettysburg | W | 66 - 63 |
| 2023-11-28 | @ | McDaniel | W | 73 - 50 |
| 2023-11-30 | @ | Bryn Mawr | W | 67 - 39 |
| 2023-12-02 | vs | Muhlenberg | W | 77 - 55 |
| 2023-12-06 | @ | Franklin & Marshall | W | 59 - 42 |
| 2023-12-09 | vs | Dickinson | W | 58 - 49 |
| 2023-12-29 | @ | UChicago | W | 88 - 79 |
| 2023-12-30 | vs | Kenyon | W | 82 - 38 |
| 2024-01-06 | vs | Ursinus | W | 67 - 58 |
| 2024-01-11 | @ | Swarthmore | W | 78 - 65 |
| 2024-01-13 | vs | Haverford | W | 82 - 33 |
| 2024-01-17 | vs | Washington Col. | W | 47 - 43 |
| 2024-01-20 | @ | Muhlenberg | W | 77 - 52 |
| 2024-01-23 | @ | Haverford | W | 62 - 39 |
| 2024-01-25 | vs | McDaniel | W | 61 - 30 |
| 2024-01-27 | @ | Ursinus | W | 58 - 43 |
| 2024-01-31 | @ | Gettysburg | L | 67 - 78 |
| 2024-02-06 | vs | Franklin & Marshall | W | 68 - 32 |
| 2024-02-08 | @ | Dickinson | W | 67 - 49 |
| 2024-02-10 | vs | Bryn Mawr | W | 96 - 37 |
| 2024-02-14 | @ | Washington Col. | W | 75 - 44 |
| 2024-02-17 | vs | Swarthmore | W | 71 - 57 |
| 2024-02-23 | vs | Ursinus | W | 66 - 45 |
| 2024-02-25 | vs | Gettysburg | L | 55 - 64 |
| 2024-03-01 | vs | Marietta | W | 75 - 66 |
| 2024-03-02 | @ | Chris. Newport | W | 77 - 75 |
| 2024-03-08 | @ | Scranton | L | 53 - 65 |
2024 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MICHAELA O'NEIL | - | 4 | 25.2 | 14.0 | 5.8 | 1.8 | 1.0 | 1.0 | 1.2 | 11.2 | 11.0 | -4 | -0.6 | -0.7 | 46.7 | 27.3 | 61.1 | -0.11 | 52.9 | 50.0 |
| MACIE FELDMAN | - | 4 | 31.2 | 13.8 | 9.2 | 4.8 | 2.0 | 0.5 | 2.0 | 11.0 | 17.2 | 24 | 3.4 | 1.7 | 43.2 | 58.3 | 66.7 | 0.16 | 54.3 | 51.1 |
| GRETA MILLER | - | 4 | 30.5 | 10.0 | 9.0 | 2.5 | 1.8 | 0.5 | 2.0 | 10.2 | 11.5 | 51 | 6.4 | 6.4 | 34.1 | 44.4 | 42.1 | 0.33 | 40.5 | 39.0 |
| BETH CORELLI | - | 4 | 14.2 | 8.5 | 3.2 | 0.8 | 0.2 | 0.2 | 1.0 | 6.0 | 6.0 | 30 | 5.0 | 9.7 | 50.0 | 66.7 | 100.0 | 0.1 | 68.3 | 66.7 |
| ELISABETH PEEBLES | - | 3 | 19.7 | 8.3 | 4.3 | 2.7 | 0.3 | 0.7 | 1.3 | 8.3 | 6.7 | 19 | 2.4 | 2.8 | 36.0 | 33.3 | 100.0 | -0.13 | 48.3 | 46.0 |
| JADYN MURRAY | - | 4 | 20.5 | 8.2 | 3.2 | 0.5 | 0.2 | 1.0 | 0.8 | 8.0 | 4.5 | 28 | 3.5 | 4.8 | 50.0 | 0.0 | 33.3 | -0.1 | 49.5 | 50.0 |
| LAYLA HENDERSON | - | 4 | 17.0 | 6.0 | 3.8 | 1.2 | 0.5 | 0.0 | 1.0 | 5.2 | 5.2 | 8 | 0.6 | 1.2 | 33.3 | 33.3 | 54.5 | 0.19 | 46.4 | 42.9 |
| KENDALL DUNHAM | - | 3 | 19.7 | 5.7 | 1.0 | 1.0 | 0.3 | 0.0 | 1.3 | 5.3 | 1.3 | 26 | 1.7 | 2.2 | 31.2 | 14.3 | 66.7 | 0.06 | 42.6 | 34.4 |
| MAYA JOHNSON | - | 2 | 17.0 | 3.0 | 1.0 | 1.5 | 1.0 | 0.5 | 1.0 | 3.5 | 2.5 | 3 | 0.2 | 0.8 | 42.9 | 0.0 | 0 | 0.19 | 42.9 | 42.9 |
| KARA MILLIKEN | - | 4 | 13.2 | 2.5 | 2.8 | 0.2 | 0.5 | 1.0 | 0.0 | 3.0 | 4.0 | 29 | 4.1 | 12.0 | 33.3 | 33.3 | 0 | 0.41 | 41.7 | 41.7 |
| GRACE SOLTES | - | 2 | 15.0 | 2.0 | 2.0 | 2.0 | 0.0 | 1.5 | 1.0 | 3.0 | 3.5 | - | - | - | 16.7 | 0.0 | 100.0 | -0.02 | 29.1 | 16.7 |
| Abigail St. Onge | - | 26 | 2.8 | 1.0 | 0.5 | 0.1 | 0.0 | 0.2 | 0.1 | 0.8 | 0.8 | - | - | - | 55.0 | 25.0 | 50.0 | - | 57.4 | 57.5 |
| Zoe Soule | - | 18 | 4.0 | 0.8 | 0.4 | 0.3 | 0.5 | 0.1 | 0.2 | 1.2 | 0.7 | - | - | - | 27.3 | 14.3 | 40.0 | - | 31.0 | 29.5 |
| Natalie Mann | - | 18 | 1.6 | 0.4 | 0.4 | 0.0 | 0.0 | 0.0 | 0.2 | 0.4 | 0.2 | - | - | - | 25.0 | 0.0 | 75.0 | - | 35.9 | 25.0 |
| Lauren Knudson | - | 15 | 1.1 | 0.3 | 0.1 | 0.2 | 0.1 | 0.0 | 0.1 | 0.5 | 0.1 | 17 | 2.1 | 3.8 | 14.3 | 33.3 | 50.0 | 0.17 | 25.4 | 21.4 |
| ABIGAIL ST ONGE | - | 2 | 5.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | -1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG